Parseh Designers Transportation Research Institute Quarterly Journal of Transportation Engineering 2008-6598 10 3 2019 03 21 Presenting a model to determine the method and priority of maintenance for flexible pavements by Fuzzy Inference System- Case study: Fars County Presenting a model to determine the method and priority of maintenance for flexible pavements by Fuzzy Inference System- Case study: Fars County 459 481 55935 FA Navid Nadimi Professor Assistant, Shahid Bahonar University of Kerman HamidReza Shahbazi Ph.D. candidate, Power electrical faculty Shahid Rajaee Teacher Training University Arash Gheibi shahid bahonar university Amirhossein Zare Mirhosseini shahid bahonar university Journal Article 2017 07 25 Roads as the most extensive infrastructures are great assets in each country. Pavement rehabilitation and maintenance (R&M) based on the current budget is one of the most important issues to have proper roads. Two subjects are important in pavement management system, which are deciding about the proper alternatives for R&M and time to perform it. This paper aims to develop a model based on artificial intelligence to propose an algorithm for deciding about the proper option for pavement R&B and also the priority of its performance. For this purpose fuzzy inference system (FIS) would be applied. The present condition of the pavement based on the distresses, roughness and structural strength would be considered as the model inputs. Also the outputs are the proper option for R&B and priority of performance. To validate the model the real data of Fars County which relates to a PMS project would be applied. Results indicate that there is a good correlation between the results of the proposed model and real data. Roads as the most extensive infrastructures are great assets in each country. Pavement rehabilitation and maintenance (R&M) based on the current budget is one of the most important issues to have proper roads. Two subjects are important in pavement management system, which are deciding about the proper alternatives for R&M and time to perform it. This paper aims to develop a model based on artificial intelligence to propose an algorithm for deciding about the proper option for pavement R&B and also the priority of its performance. For this purpose fuzzy inference system (FIS) would be applied. The present condition of the pavement based on the distresses, roughness and structural strength would be considered as the model inputs. Also the outputs are the proper option for R&B and priority of performance. To validate the model the real data of Fars County which relates to a PMS project would be applied. Results indicate that there is a good correlation between the results of the proposed model and real data. https://jte.sinaweb.net/article_55935_295be282e8fc97c5ccedef9a7854dcf4.pdf